About AILA

At AILA, we are at the forefront of advancing artificial intelligence to create real-world impact. Our mission is to build and deploy intelligent systems that empower organisations and users alike — bridging the gap between cutting-edge research and practical applications. Joining us means you'll be part of a collaborative, fast-paced environment where innovation, accountability and ethical AI matter.

Key Responsibilities

• Design, develop and optimise machine learning models for natural language processing (NLP), computer vision and predictive analytics applications.
• Collaborate with data engineers and software engineers to build scalable, robust data pipelines and production-ready deployments of AI/ML solutions.
• Conduct rigorous experiments: analyse model performance, iterate on feature engineering, fine-tune architectures, and improve interpretability and efficiency.
• Translate business requirements into technical specifications and partner with product teams to ensure delivery aligns with strategic goals.
• Contribute to the growth of internal AI tooling, frameworks and best practices, ensuring high standards of code quality, reproducibility and documentation.
• Stay abreast of latest developments in ML/AI research, open source frameworks and industry trends; proactively propose and implement improvements.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field.
• Minimum of 3 years of hands-on experience building and deploying machine learning or AI models in real-world settings.
• Proficiency in Python and familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn and/or Hugging Face Transformers.
• Solid understanding of neural networks, NLP techniques (e.g., sequence modelling, embeddings, transformers) and conventional statistical modelling.
• Experience working with cloud platforms (AWS, Azure or GCP) as well as MLOps tools such as Docker, MLflow, Kubeflow or equivalent.
• Strong skills in data preprocessing, feature engineering, model validation and performance evaluation.
• Excellent communication and collaboration abilities — you will work across disciplines and with stakeholders at different levels.

Preferred Qualifications

• Experience building or fine-tuning large-language-models (LLMs) or working with retrieval-augmented generation (RAG) architectures.
• Knowledge of vector databases, embeddings optimisation, and scalable inference frameworks.
• Open-source contributions or published research in the domain of AI/ML.
• Prior experience deploying ML models at scale (e.g., microservices, real-time inference, monitoring and logging in production).

What We Offer

• Competitive salary and performance-based bonuses, aligned with experience and market standards.
• Flexible working hours, hybrid/remote work options with emphasis on work-life balance.
• Access to advanced compute resources (GPU clusters, cloud credits, latest libraries and tooling).
• Professional development budget for attending conferences, obtaining certifications, and pursuing online courses.
• A culture of continuous learning, innovation and inclusivity where your voice and ideas are valued.
• Real opportunity to shape the future of AI in meaningful, high-impact projects.

How to Apply

If you’re excited by the possibility of joining AILA and working on challenging AI problems that matter, we’d love to hear from you!
Please send us your CV, portfolio (if available) and a short cover letter outlining why you’re interested in this role and how your experience aligns with the responsibilities above.
Applications should be sent to: careers@aila.ai (or via our careers page on our website).

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